Due to the ever-widening performance gap between processors and disks, I/O operations tend to become the major performance bottleneck of data-intensive applications on modern clus...
Yifeng Zhu, Hong Jiang, Xiao Qin, Dan Feng, David ...
Clustered microarchitectures are an attractive alternative to large monolithic superscalar designs due to their potential for higher clock rates in the face of increasingly wire-d...
Rajeev Balasubramonian, Sandhya Dwarkadas, David H...
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...